جست‌وجوی استاد و پژوهشگر

Jessica Pawsonمشاهده پروفایل

پژوهشگر ارشد

• Musculoskeletal Physiotherapy
• Health Equity
• Clinical Research
• +۳ مورد دیگر

Jessica Pawson is a Doctoral Clinical Academic Fellow and Musculoskeletal Physiotherapist at the Centre for Bone and Joint Health within Queen Mary University of London's Blizard Institute, Faculty of Medicine and Dentistry. With over 10 years of clinical experience in east London, she specializes in musculoskeletal and orthopaedic injuries while coordinating clinical research trials including patient recruitment and study management. Her research centers on advancing health equity through co-designed, culturally tailored physiotherapy interventions for underserved populations. She investigates systemic barriers to healthcare access and develops community-driven solutions to enhance service effectiveness, bridging clinical practice with health services research to serve marginalized communities. Jessica holds the following scientific award: HARP programme Doctoral Fellowship (Health Advances in Underrepresented Populations and Diseases) Funded by the HARP fellowship, her current project "Enhancing Equity: a co-designed culturally tailored physiotherapy intervention" focuses on developing equitable healthcare models. She has no formal advisees at present but contributes to research coordination within her clinical domain. As an active member of the Centre for Bone and Joint Health, Jessica participates in multidisciplinary initiatives advancing musculoskeletal research and clinical innovation through community-centered approaches.

Zachary C. Irvingمشاهده پروفایل

دانشیار

• Philosophy of Cognitive Science
• Mind-Wandering
• Mental Action
• +۵ مورد دیگر

Zachary C. Irving is an Associate Professor in the Corcoran Department of Philosophy at the University of Virginia, specializing in the philosophy of cognitive science with a focus on mind-wandering and attention dynamics . His research bridges philosophy, neuroscience, and psychology through an action-theoretic model of unguided attention. NEH Fellowship (2024) Templeton Grant recipient for machine learning classifiers in VR His work has generated three research programs: (1) theoretical foundations for mind-wandering, (2) empirical methods for measuring passive cognition, and (3) normative analyses of attention in digital societies. His interdisciplinary methods span cognitive psychology, neuroscience, and experimental philosophy, often collaborating with scientists in other fields. Recent publications in PNAS , NeuroImage , and Trends in Cognitive Sciences highlight his contributions to understanding neural signatures of spontaneous thought and the philosophical implications of self-report methodology. Defended the Thinking Grid framework for mind-wandering measurement Developed EEG-based classifiers for real-time thought dynamics Coined “Two Channel” model of character-based responsibility judgments Irving advocates for task-free psychology while addressing its methodological challenges, particularly the reliability of introspection in studying passive mental states like dreaming or digital distraction. His upcoming The Spontaneity Deficit book explores ethical implications of attention norms in technology-driven environments.

Peyman Najafiradمشاهده پروفایل

دانشیار

• Artificial Intelligence
• AI Security
• Machine Learning
• +۳ مورد دیگر

Peyman Najafirad is an Associate Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), part of the College of Sciences. His academic journey includes a Ph.D. and M.S. in Electrical and Computer Engineering and Computer Science from UTSA, alongside an M.S. in Computer Engineering and Artificial Intelligence from Iran's Polytechnic, and a B.S. in Computer Science from Sharif University of Technology. His research focuses on AI security, knowledge representation, probabilistic decision-making, and reinforcement learning. Notable contributions include work on adversarial machine learning, LLM-driven cybersecurity solutions, and multimodal AI systems for remote sensing and medical imaging. Najafirad's publications address challenges in secure code generation, AI fairness, and real-time decision-making frameworks for IoT systems. His work bridges theoretical advancements with practical applications, such as vulnerability analysis in software systems, automated defense mechanisms, and explainable AI for healthcare and disaster response. Current research trends highlight innovations in AI safety, ethical algorithm design, and cross-disciplinary solutions for complex societal challenges. While no awards or grants are explicitly listed, his prolific publication record reflects sustained engagement with cutting-edge topics in computer science. His advising role and academic leadership contribute to fostering the next generation of researchers in interdisciplinary AI applications.

David Quigleyمشاهده پروفایل

استاد آموزشی

• Learning Analytics
• Educational Technology
• Science Education
• +۳ مورد دیگر

Dr. David Quigley is an Assistant Teaching Professor in the Department of Computer Science at the University of Colorado Boulder and a Research Associate at the Institute of Cognitive Science. He specializes in learning analytics, focusing on developing machine learning models to analyze student activity and understanding in science classrooms. His current work involves the eBRAVO project, which creates adaptive, AI-enhanced tools to support reading comprehension of expository texts. Dr. Quigley holds a PhD from CU Boulder, where he contributed to the Inquiry Hub Research-Practice Partnership and the Chicago City of Learning initiative. His earlier studies at Georgia Tech with the Contextual Computing Group included projects on wearable computing and text input methods. His research bridges educational technology, cognitive science, and data-driven pedagogy. Key research themes include: Adaptive learning systems Scientific inquiry modeling Educational equity through technology Data-driven curriculum design His publications from 2014–2020 emphasize learning analytics applications in STEM education, educational equity, and digital tool development. While no formal awards are listed, his work demonstrates sustained impact in educational technology research.

• Safety-critical real-time systems
• Autonomous systems verification
• Robotics
• +۳ مورد دیگر

Professor René Hexel currently serves as Dean (Learning & Teaching) and Pro Vice Chancellor (Sciences) at Griffith University, where he directs the Cyber-Physical Systems Lab. With over 85 peer-reviewed publications, he specializes in safety-critical real-time systems and autonomous system verification. 2022–present: Dean (Learning & Teaching), Griffith Sciences 2016–2022: Deputy Head of School (L&T), Griffith School of ICT 2007–2016: Director for Internationalisation, Griffith School of ICT 1999: PhD from Vienna University of Technology His research focuses on safety-critical systems , time-triggered protocols , and human-in-the-loop AI , with applications in aerospace, automotive, and healthcare robotics. Recent work explores humanoid robots for dementia care and verifiable executable models. Key article trends show expertise in: Formal verification techniques Robotics communication protocols Explainable machine learning Real-time system architectures Embedded system validation Human-robot interaction design Research grants include: Australian Space Manufacturing Network (2023–2025) SPASE STEM program grant (2022) Social media wellness monitoring (2019–2020) Internal Griffith grants (2003–2010) He has supervised 12 PhD candidates across topics including: Autonomous system verification Robotics security VR sickness mitigation Intelligent control systems Distributed real-time architectures Professor Hexel previously held academic positions at Vienna University of Technology and founded an IT consulting firm specializing in safety-critical systems.

• Privacy and Cybersecurity
• Social Media Analytics
• Technology Adoption and Diffusion
• +۳ مورد دیگر

Sara Memarian Esfahani is an Assistant Professor of Computer Science at the University of Texas at Tyler, affiliated with the Soules College of Business. She holds a Ph.D. in Business Computer Information Systems from the Ryan College of Business at the University of North Texas, an M.S. in Strategic Management from Khatam University, and a B.S. in Industrial Engineering from Islamic Azad University. Her research focuses on privacy and cybersecurity, social media analytics, and the behavioral aspects of technology adoption. She explores how users navigate privacy concerns in digital spaces, the ethical implications of AI, and how organizational systems can leverage technology for strategic advantage. Her work bridges theoretical insights with practical applications, emphasizing the role of information systems in modern business operations. In teaching, she instructs courses on Management Information Systems, System Analysis and Design, and Critical Thinking in Business. She is committed to preparing students to thrive in the digital era through both academic rigor and practical skills like Excel certification. Her recent research trends highlight interdisciplinary themes: examining privacy paradoxes, AI ethics, IoT challenges, and systemic gaps between academia and industry. She consistently advocates for practical solutions that align technological advancements with ethical and organizational needs. While no formal grants or awards are documented here, her active research portfolio demonstrates a dedication to impactful contributions in information systems and cybersecurity domains.

• Software Engineering
• Agile/SCRUM Methodologies
• Security and Privacy
• +۳ مورد دیگر

Hadar Ziv is an Associate Professor of Teaching in the Informatics Department at the University of California, Irvine (UCI), within the Donald Bren School of Information and Computer Sciences. He has been affiliated with UCI for over three decades, having earned his B.S. (1983), M.S. (1990), and Ph.D. (1997) in computer science at the institution. His primary role involves teaching, particularly in capstone project courses where students develop real-world software solutions for corporate and community partners. He emphasizes interdisciplinary collaboration, blending computer science with fields like anthropology and psychology. Ziv’s research focuses on software engineering methodologies, Agile/SCRUM practices, cybersecurity, and computer science education. His doctoral work on the 'Ziv’s Law' uncertainty principle in software engineering influenced early Agile frameworks. He actively integrates ethics and societal impacts into curricula, recently exploring the role of large language models in education and cybersecurity in capstone projects. He has spearheaded projects such as the iSelfControl ADHD management app and collaborates with entities like CHOC Hospital and Sound Ethics. Ziv was honored with UCI’s Excellence in Teaching Award (2003) and continues to advocate for experiential learning through industry partnerships. His work bridges academic rigor with practical application, fostering student success in the job market through deployable software solutions. Key affiliations include the Institute for Software Research (ISR) at UCI, where he contributes to cybersecurity and software architecture research. His teaching and research emphasize real-world impact, with projects often published in app stores or adopted by partner organizations.

Nian-Ze Leeمشاهده پروفایل

استادیار

• Formal Methods
• Hardware Verification
• Software Verification
• +۳ مورد دیگر

Nian-Ze Lee is an Assistant Professor at the Department of Electrical Engineering of National Taiwan University, leading the Formal Methods and Analysis for Computing and Engineering Laboratory (ForMACE Lab). He is also a Guest Professor affiliated with the Software and Computational Systems Lab (SoSy-Lab) at Ludwig-Maximilians-Universität München (LMU Munich), Germany. He holds a Ph.D. in Electronics Engineering from National Taiwan University (2021). His research focuses on formal methods, hardware and software verification, and circuit-based analysis. Education: Ph.D. in Electronics Engineering, National Taiwan University (2021) Research Interests: Formal methods for hardware and software systems Model checking and verification frameworks Circuit-based program verification (e.g., Btor2C translator) Algorithm selection for verification tools Awards: ACM SIGSOFT Distinguished Paper Award (2025) Best Artifact Award (2024) DFG Grant for Bridging Hardware and Software Analysis (2024) Advising & Grants: Supervises Ph.D./Master’s students on topics like algorithm selection and verification frameworks Recipient of DFG grant enabling collaboration between NTU and LMU Munich Labs/Teams: ForMACE Lab (NTU) – Focuses on formal methods and system analysis SoSy-Lab (LMU) – Collaborations on verification tools and frameworks

• Artificial Intelligence
• Natural Language Processing
• Quantum Computing
• +۷ مورد دیگر

Dimitris Gkoumas is a Postdoctoral Research Assistant at Queen Mary University of London (QMUL), specifically within the School of Electronic Engineering and Computer Science. His role involves advancing interdisciplinary research at the intersection of computer science, artificial intelligence, and healthcare. His research interests focus on AI-driven healthcare solutions, quantum computing-inspired machine learning, natural language processing (NLP), and multimodal data fusion. Key areas include developing longitudinal datasets for dementia diagnosis, applying large language models (LLMs) to clinical tasks like suicidality risk detection, and exploring quantum theory for decision-making systems in information retrieval and sentiment analysis. His work bridges technical innovation with societal impact, such as analyzing parliamentary debates (ParlaMint) and investigating xenophobic attitudes via social media. He also contributes to collaborative platforms like the European Language Grid, promoting cross-lingual NLP advancements. While no formal awards are listed, his publications reflect a strong commitment to cutting-edge research. His advising and grants activities remain unspecified in the provided texts. Dimitris has contributed to educational technology through projects like HistoryLand, a game for primary education history learning.

Omar Anwarمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Low Power Computing
• Wireless Sensor Networks
• +۳ مورد دیگر

Omar Anwar is a Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) at the University of Western Australia. He holds a BS in Electronic Engineering from Muhammad Ali Jinnah University (2007) and an MS in Embedded Systems Engineering from the University of Leeds (2009). His research focuses on Machine Learning, Low Power Computing, Wireless Sensor Networks, and Radio Frequency Interference (RFI) mitigation in radio astronomy. Currently, he contributes to the Data Intensive Astronomy (DIA) group at ICRAR, addressing RFI challenges critical to astronomy research. Education: Bachelor of Science in Electronic Engineering, Muhammad Ali Jinnah University, 2007 Master of Science in Embedded Systems Engineering, University of Leeds, 2009 Research Interests: Anwar’s work combines machine learning with hardware optimization to solve real-world challenges. His innovations include developing low-power, long-range sensor systems for remote beehive health monitoring and pioneering the first ML model for beehive weight estimation. His current focus on RFI minimization aims to enhance radio astronomy data quality. His research bridges agriculture, embedded systems, and astrophysics, emphasizing interdisciplinary applications. Awards & Grants: No specific awards or grants are listed in the provided texts. Advising & Labs: Anwar is part of the DIA group at ICRAR, collaborating on large-scale astronomical data challenges. No formal advisee list is provided.

Yeray Barrios-Fleitasمشاهده پروفایل

پژوهشگر

• Gamification
• Higher Education
• Computer Science
• +۷ مورد دیگر

Yeray Barrios-Fleitas is a PhD Candidate at University of Twente (Formal Methods and Tools group) with prior academic affiliations at Universidad de La Laguna , where he earned a Master in Computer Science (2016) and a Bachelor in Computer Science Engineering (2014). His work intersects computer science, gamification, and educational technology. Research Interests : Focused on Gamification for education and health Team dynamics and effectiveness Application of NLP in educational contexts Serious games for behavior change Active video games in schools Inclusion strategies in learning environments Publications & Trends : His research spans gamification in higher education, exergames for healthy habits, and NLP-driven team role analysis. Recent work addresses sustainability optimization and comparative gamification models. Key themes include leveraging technology for behavioral and educational improvements. Collaborations & Projects : He contributed to the Edhospi project as a research assistant (2015-2016) and served as an Educational ICT and MOOC advisor at Universidad de La Laguna (2016-2017). His current PhD research explores formal methods in gamification and team dynamics.

• Process Design
• Process Optimization
• Process Integration
• +۳ مورد دیگر

Omar Alqusair is a Lecturer and PhD candidate affiliated with the University of Manchester and King Saud University. He holds a BSc in Chemical Engineering (King Saud University, 2019) and an MSc in Advanced Process Integration and Design (University of Manchester, 2023). His research focuses on AI-driven process design, optimization frameworks, and data-driven methodologies in chemical engineering. Education: Bachelor of Science (Chemical Engineering), King Saud University, 2016–2019 Master of Science (Advanced Process Integration and Design), University of Manchester, 2022–2023 Current: PhD candidate in Process Integration at University of Manchester Research Interests: Process Modelling, Process Optimization, Machine Learning Applications, and AI-assisted methodologies for enhancing chemical engineering processes. His work integrates data-driven approaches with traditional process synthesis techniques. Articles Summary: His publications explore hybrid distillation systems, AI integration in conceptual design, and thermodynamic studies using deep eutectic solvents. Recent work emphasizes optimization frameworks and azeotropic separation challenges. Awards: BAE Systems Distinguished Graduation Project Award (2019) APID Process Integration Research Consortium Award (2023) Advising/Grants: No formal advisees or grant details mentioned. Currently focused on academic research and PhD studies.

• Neural Engineering
• Biomedical Engineering
• Human-Computer Interaction
• +۳ مورد دیگر

Alexandre Armengol Urpi is a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Mechanical Engineering within the School of Engineering. His research focuses on neural engineering, biomedical engineering, human-computer interaction, IoT systems, and signal processing. He explores applications such as brain-computer interfaces (BCI), EEG-based diagnostics, and augmented reality (AR) integration with IoT devices. His work emphasizes translating tacit expert knowledge into actionable data, improving medical diagnostics through machine learning, and enhancing cybersecurity in BCI systems. Projects include developing wireless health-monitoring systems and hands-free AR navigation tools using SSVEP signals. Recent studies address covert spatial attention decoding, industrial IoT-AR systems, and RFID innovations beyond traditional identification. While no formal student advisees are listed, his research collaborations involve interdisciplinary teams across MIT. His contributions span theoretical frameworks and practical implementations, with a focus on closing the gap between human expertise and technological systems. Key research trends include integrating biosignals with smart devices, enhancing neural interface accuracy, and applying deep learning to object pose estimation in industrial contexts. His publications highlight a balance between foundational neuroscience and applied engineering solutions. No scientific awards or grants are explicitly mentioned in the provided texts.

Yi Chenمشاهده پروفایل

استادیار

• Economics
• Information Economics
• Game Theory
• +۳ مورد دیگر

Yi Chen is an Assistant Professor of Economics at Cornell University's College of Arts and Sciences. He holds a Ph.D. in Economics from Yale University (2018), with earlier degrees including a B.S. and B.A. from Peking University (2009), and multiple advanced degrees from Yale (2016-2018). His research focuses on information economics, integrating theoretical and applied approaches to principal-agent problems, dynamic games, and information design. He also explores interdisciplinary topics in molecular biology and genetics, including RNA-mediated epigenetic regulation and chromatin architecture. His work spans economics and biological sciences, with notable contributions to understanding Polycomb repressive complex 2 (PRC2) function in stem cells, RNA-dependent chromatin interactions, and CRISPR-based mutagenesis techniques. Recent research highlights include studies on H3K27 methylation dynamics and the role of noncoding RNAs in transcriptional regulation. While no formal advising roles or grants are listed, his research intersects economics theory with molecular mechanisms, reflecting a unique interdisciplinary perspective. No specific lab affiliations or teams are mentioned in the provided materials.

Sajjan G. Shivaمشاهده پروفایل

استاد

• Software Systems
• Cybersecurity
• Game Theory Applications in Security
• +۳ مورد دیگر

Sajjan G. Shiva is a Professor at the Department of Computer Science , University of Memphis. He joined the University in 2002 as Director of the Computer Science Division and led its transition to a full department in 2005, serving as Founding Chair until 2015. Faculty positions: University of Alabama in Huntsville, Alabama A&M University Industry roles: Teledyne Brown Engineering, Intergraph Corporation, U.S. Army Space and Strategic Defense Command Education : PhD in Electrical Engineering, Auburn University (1975) Research Interests : Dr. Shiva specializes in game-theoretic cybersecurity , secure software engineering , cloud computing security , and network defense mechanisms . His work integrates artificial intelligence , computer architecture , and expert systems into security frameworks. Publications : Recent work focuses on crowdsourcing applications , SQL injection mitigation , and attack graph modeling . His research trends emphasize stakeholder-oriented security , runtime monitoring , and game-inspired defense architectures . Scientific Awards : Fellow of IEEE Life Member of ACM First Horizon Foundation Distinguished Professor Advising and Funding : Dr. Shiva has advised over 35 PhD and Master’s students, including Abdullah Abu Hussein (2017), Vivek Shandilya (2015), and Ramya Dharam (2014). His research is funded by NSF , NASA , U.S. Department of Defense , and ONR . Labs and Teams : He leads the Game Theory and Cyber Security Laboratory (GTC Lab), focusing on game-theoretic models and secure software frameworks . His collaborations include institutions like NASA, U.S. Army, and industry partners.